Dilip M. Parikh

54 total papers · 759 total citations
10 papers, 516 citations indexed

About

Dilip M. Parikh is a scholar working on Materials Chemistry, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Dilip M. Parikh has authored 10 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Building and Construction and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Dilip M. Parikh's work include Shape Memory Alloy Transformations (5 papers), Innovations in Concrete and Construction Materials (4 papers) and Drug Solubulity and Delivery Systems (3 papers). Dilip M. Parikh is often cited by papers focused on Shape Memory Alloy Transformations (5 papers), Innovations in Concrete and Construction Materials (4 papers) and Drug Solubulity and Delivery Systems (3 papers). Dilip M. Parikh collaborates with scholars based in India, United States and Spain. Dilip M. Parikh's co-authors include Jay Vora, Rakesh Chaudhari, Luís Norberto López de Lacalle, Vivek Patel, I. A. Palani, Vivek Patel, S.S. Mani Prabu, Vishal Ashok Wankhede, Sakshum Khanna and Raman Iyer and has published in prestigious journals such as Journal of Controlled Release, Materials and Drug Development and Industrial Pharmacy.

In The Last Decade

Dilip M. Parikh

10 papers receiving 493 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dilip M. Parikh 297 286 160 156 63 10 516
Himangshu Bhowmik 44 0.1× 316 1.1× 46 0.3× 172 1.1× 24 0.4× 22 519
Young-Man Jeong 82 0.3× 290 1.0× 97 0.6× 276 1.8× 4 0.1× 16 574
Thomas Périé 48 0.2× 75 0.3× 121 0.8× 121 0.8× 7 0.1× 7 456
Silvio Pappadà 59 0.2× 209 0.7× 92 0.6× 57 0.4× 7 0.1× 15 473
Prateek Kala 276 0.9× 422 1.5× 108 0.7× 383 2.5× 2 0.0× 29 592
Ehsan Bitaraf Haghighi 67 0.2× 405 1.4× 44 0.3× 483 3.1× 4 0.1× 23 595
Herbert Schulz 170 0.6× 427 1.5× 87 0.5× 221 1.4× 4 0.1× 26 498
Ast Wong 32 0.1× 203 0.7× 62 0.4× 49 0.3× 8 0.1× 18 562
Halil İbrahim Saraç 199 0.7× 113 0.4× 110 0.7× 83 0.5× 17 477
J.F. Liu 237 0.8× 421 1.5× 131 0.8× 167 1.1× 12 524

Countries citing papers authored by Dilip M. Parikh

Since Specialization
Citations

This map shows the geographic impact of Dilip M. Parikh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dilip M. Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilip M. Parikh more than expected).

Fields of papers citing papers by Dilip M. Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dilip M. Parikh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dilip M. Parikh. The network helps show where Dilip M. Parikh may publish in the future.

Co-authorship network of co-authors of Dilip M. Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Dilip M. Parikh. A scholar is included among the top collaborators of Dilip M. Parikh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dilip M. Parikh. Dilip M. Parikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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